In SAS Model Studio, a data scientist selects the 'Gradient Boosting' node and wants to tune the number of trees using AutoTune. Which SAS Viya feature enables automatic hyperparameter search for gradient boosting?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because SAS Model Studio provides an AutoTune node (also called hyperparameter optimization) that automatically searches the hyperparameter space using strategies like Bayesian optimization or random search, optimizing gradient boosting parameters such as learning rate, number of trees, and max depth. A is wrong because PROC HPFOREST does not have an AUTOTUNE=YES option.
Full explanation below image
Full Explanation
B is correct because SAS Model Studio provides an AutoTune node (also called hyperparameter optimization) that automatically searches the hyperparameter space using strategies like Bayesian optimization or random search, optimizing gradient boosting parameters such as learning rate, number of trees, and max depth. A is wrong because PROC HPFOREST does not have an AUTOTUNE=YES option. C is wrong because gbtreetrain does not have a GRIDSEARCH=YES parameter. D is wrong because PROC GLMSELECT is for variable selection in linear models, not gradient boosting hyperparameter search.